Detecting Body Mass Index from a Facial Photograph in Lifestyle Intervention

This study aimed to identify whether a research participant’s body-mass index (BMI) can be correctly identified from their facial image (photograph) in order to improve data capturing in dissemination and implementation research. Facial BMI (fBMI) was measured using an algorithm formulated to identify points on each enrolled participant’s face from a photograph. Once facial landmarks were detected, distances and ratios between them were computed to characterize facial fatness. A regression function was then used to represent the relationship between facial measures and BMI values to then calculate fBMI from each photo image. Simultaneously, BMI was physically measured (mBMI) by trained researchers, calculated as weight in kilograms divided by height in meters squared (adult BMI). Correlation analysis of fBMI to mBMI (n = 1210) showed significant correlation between fBMI and BMIs in normal and overweight categories (p \u3c 0.0001). Further analysis indicated fBMI to be less accurate in underweight and obese participants. Matched pair data for each individual indicated that fBMI identified participant BMI an average of 0.4212 less than mBMI (p \u3c 0.0007). Contingency table analysis found 109 participants in the ‘obese’ category of mBMI were positioned into a lower category for fBMI. Facial imagery is a viable measure for dissemination of human research; however, further testing to sensitize fBMI measures for underweight and obese individuals are necessary

Losses, Gains, and Changes to the Food Environment in a Rural Kentucky County during the COVID-19 Pandemic

The COVID-19 pandemic has caused alterations to be made in the way many people access, prepare, and consume food. Rural communities are particularly impacted due to pre-existing structural vulnerabilities, i.e., poverty, lack of infrastructure, and limited fresh food options. This study aimed to characterize experiences of one rural Appalachian community’s changes to the food environment during the pandemic. In April 2021, six focus groups were conducted with residents of Laurel County, Kentucky. Using grounded theory, we identified losses, gains, and overall changes to the community food environment since the onset of COVID-19. Seventeen Laurel Countians (17 female; ages 30–74) participated in the six focus groups. Three main themes emerged regarding food environment changes—(1) modifications of community food and nutrition resources, (2) expansion and utilization of online food ordering, and (3) implications of the home food environment. Rural communities faced considerable challenges during the COVID-19 pandemic, in part, due to gaps in existing infrastructure and loss of pre-existing resources. This study illustrates the complexity of changes occurring during COVID-19. Using the preliminary data obtained, we can better understand pre-existing issues in Laurel County and suggestions for future programming to address the inequitable access and response during public health emergencies and beyond

Exploring Perceived Importance of a Novel Emergency Food Program during COVID-19 and Program Recipient Characteristics

Following rising unemployment rates and consequent loss of income due to COVID-19, many people have been seeking meal assistance. This study examines the impact of a community-based free meal distribution program during the pandemic in Kentucky, reviewing characteristics of recipients of the program. Demographics, health behaviors, food insecure classification, and rating of importance of the meal program were collected. Qualitative feedback on the impact of the program was collected via open response. Of the 92 participants using the meal service, the cohort was female, Black, 43 years of age (43.5 ± 15.0 years), with a household income under 30,000 USD before COVID, decreased income since COVID, and were food insecure. Recipients rated the importance of the service as 8.7 ± 1.8 (of 10), and those with children indicated the importance as 4.2 ± 1.1 (of 5). Qualitative data on program importance highlighted four response categories including “changed habits”, “mental wellbeing”, “provided resources”, and “other”. In response to the COVID-19 pandemic, many individuals have struggled. Meal assistance programs are a fundamental asset in the community that have seen marketed demand since COVID-19. Collaboration with, and evaluation of, meal assistance programs can be valuable for continued programmatic funding support

eB4CAST: An Evidence-Based Tool to Promote Dissemination and Implementation in Community-Based, Public Health Research

eB4CAST, evidence-Based forecast C-capture, A-assemble, S-sustain, T-timelessness (eB4CAST), framework was developed from existing dissemination and implementation (D & I) constructs as a dissemination tool to promote community-based program usability and future application in targeted populations. eB4CAST captures and transforms research findings into a dissemination report that shows program need and impact to endorse program continuation and expansion. This is achieved through direct and indirect data collection of community factors and program impact that can showcase the need for program sustainability and potential for future dissemination sites. Testimonials, individual feedback, and program process and outcomes contribute to the direct data while data collected from census, county, and state databases and reports allow for indirect information to be captured and analyzed. Capturing data in the two levels allow eB4CAST to forecast program need and highlight program impact through a footprint. eB4CAST framework for dissemination tool creation is organized into four sections: Capture, Assemble, Sustainability, and Timelessness. Capture encompasses the collection of indirect and direct data related to intervention goals. Assemble is the compilation of the data into a visually appealing and easily understood media. Sustainability encourages the use of dissemination tools to provide forecast of program need and footprint of program impact back to community participants, program leaders, and key stakeholders to endorse program sustainability. Lastly, timelessness encourages cyclic movement through these constructs to continue program monitoring and data sharing to ensure timeless program evaluation and conformation to change in needs. The eB4CAST framework provides a systematic method to capture justification of program need and impact of community-based research that can be modified to fit diverse public health interventions providing a necessary D & I tool

Health Disparities Score Composite of Youth and Parent Dyads from an Obesity Prevention Intervention: iCook 4-H.

iCook 4-H is a lifestyle intervention to improve diet, physical activity and mealtime behavior. Control and treatment dyads (adult primary meal preparer and a 9–10-year-old youth) completed surveys at baseline and 4, 12, and 24 months. A Health Disparity (HD) score composite was developed utilizing a series of 12 questions (maximum score = 12 with a higher score indicating a more severe health disparity). Questions came from the USDA short form U.S. Household Food Security Survey (5), participation in food assistance programs (1), food behavior (2), level of adult education completed (1), marital status (1), and race (1 adult and 1 child). There were 228 dyads (control n = 77; treatment n = 151) enrolled in the iCook 4-H study. Baseline HD scores were 3.00 ± 2.56 among control dyads and 2.97 ± 2.91 among treatment dyads, p = 0.6632. There was a significant decline in the HD score of the treatment group from baseline to 12 months (p = 0.0047) and baseline to 24 months (p = 0.0354). A treatment by 12-month time interaction was found (baseline mean 2.97 ± 2.91 vs. 12-month mean 1.78 ± 2.31; p = 0.0406). This study shows that behavioral change interventions for youth and adults can help improve factors that impact health equity; although, further research is needed to validate this HD score as a measure of health disparities across time

Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis

Objective/Introduction. Lengthy surveys have the potential to burden users and can lead to inaccuracies. Conducting analyses to shorten existing validated surveys is beneficial. The objective, therefore, was to shorten the Pittsburgh Quality Sleep Index (PSQI) for young adults. Methods. PSQI data from 1246 college students were used. An exploratory factor analysis (FA) was utilized to shorten survey after dropping select items. Nonparametric correlation analysis (Spearman’s rho) was conducted between the global sleep scores of the shortened and original surveys. Agreements tests (Kappa and McNemar’s test) measured the agreement of the surveys and sensitivity and specificity were evaluated. Results. Six factors were examined using maximum likelihood factoring method, applying squared multiple correlations with Promax rotation to allow for correlated variables. FA with six factors explained 100% of shared variance based on eigenvalues and accounted for 61% of variability based on variables. The FA resulted in 13 selected questions (“shortPSQI”), corresponding to 5 of the 7 components of the original survey. High correlation was found between the global scores of the original survey and the “shortPSQI” (rho = 0.94, ). When the global score was converted to the categorical variable of good or poor sleepers, the agreement test indicated strong agreement (Kappa 0.83, 95% CI 0.79–0.86, ). Conclusion. The validated, 19-item PSQI survey was shortened to 13 items. Tests of correlation and agreement indicate the “shortPSQI” may be an acceptable alternative to the original survey for young adults. Clinical Trial Registration. Data for this study was taken from the Get Fruved study, registered on October 21, 2016, on clinicaltrials.gov (NCT02941497)

Health Disparities Score Composite of Youth and Parent Dyads from an Obesity Prevention Intervention: iCook 4-H

iCook 4-H is a lifestyle intervention to improve diet, physical activity and mealtime behavior. Control and treatment dyads (adult primary meal preparer and a 9–10-year-old youth) completed surveys at baseline and 4, 12, and 24 months. A Health Disparity (HD) score composite was developed utilizing a series of 12 questions (maximum score = 12 with a higher score indicating a more severe health disparity). Questions came from the USDA short form U.S. Household Food Security Survey (5), participation in food assistance programs (1), food behavior (2), level of adult education completed (1), marital status (1), and race (1 adult and 1 child). There were 228 dyads (control n = 77; treatment n = 151) enrolled in the iCook 4-H study. Baseline HD scores were 3.00 ± 2.56 among control dyads and 2.97 ± 2.91 among treatment dyads, p = 0.6632. There was a significant decline in the HD score of the treatment group from baseline to 12 months (p = 0.0047) and baseline to 24 months (p = 0.0354). A treatment by 12-month time interaction was found (baseline mean 2.97 ± 2.91 vs. 12-month mean 1.78 ± 2.31; p = 0.0406). This study shows that behavioral change interventions for youth and adults can help improve factors that impact health equity; although, further research is needed to validate this HD score as a measure of health disparities across time

Health Behaviors of Student Community Research Partners When Designing and Implementing a Healthy Lifestyle Intervention on College Campuses

Few studies work with college students as equal partners in all aspects of Community-Based Participatory Research (CBPR) and even less evaluate behaviors of those college partners. The current study aimed to examine health behaviors of students by designing and implementing a peer-led, social marketing campaign (Get Fruved) to promote healthier lifestyles on their campuses. Enrolled students (n = 376) were trained to either design and implement a health promotion intervention (Social Marketing and Environmental Interventionists; SMEI, n = 78), be peer mentors (PM; n = 205), or serve as control participants (n = 93). Students’ behaviors (dietary, activity, and stress) and anthropometrics were assessed at baseline, 6 months, and 12 months. The population was predominately Caucasian, female, and between 19 and 20 years old. On average, fruit and vegetable consumption slightly decreased across all time points for each group with control at a larger decline. Students International Physical Activity Questionnaire (IPAQ) scores showed students met recommended amounts of activity throughout the intervention, with males reporting higher activity levels. Cohen’s Perceived Stress Scale (PSS) analyses indicated 19 year olds had higher stress along with females had higher than males. Students involved in a CBPR approach to be trained, design, and implement a lifestyle intervention can achieve maintenance of health behaviors throughout a college year when compared to control students

Health Behaviors of Student Community Research Partners When Designing and Implementing a Healthy Lifestyle Intervention on College Campuses.

Few studies work with college students as equal partners in all aspects of Community-Based Participatory Research (CBPR) and even less evaluate behaviors of those college partners. The current study aimed to examine health behaviors of students by designing and implementing a peer-led, social marketing campaign (Get Fruved) to promote healthier lifestyles on their campuses. Enrolled students (n = 376) were trained to either design and implement a health promotion intervention (Social Marketing and Environmental Interventionists; SMEI, n = 78), be peer mentors (PM; n = 205), or serve as control participants (n = 93). Students\u27 behaviors (dietary, activity, and stress) and anthropometrics were assessed at baseline, 6 months, and 12 months. The population was predominately Caucasian, female, and between 19 and 20 years old. On average, fruit and vegetable consumption slightly decreased across all time points for each group with control at a larger decline. Students International Physical Activity Questionnaire (IPAQ) scores showed students met recommended amounts of activity throughout the intervention, with males reporting higher activity levels. Cohen\u27s Perceived Stress Scale (PSS) analyses indicated 19 year olds had higher stress along with females had higher than males. Students involved in a CBPR approach to be trained, design, and implement a lifestyle intervention can achieve maintenance of health behaviors throughout a college year when compared to control students

Bariatric Surgery Outcomes in Appalachia Influenced by Surgery Type, Diabetes, and Depression

Background Most effective treatment for morbid obesity and its comorbidities is bariatric surgery. However, research is limited on weight loss and associated outcomes among patients in Appalachia. The objective of this study was to examine demographic and comorbidity influence on surgical outcomes of this population including age, sex, race, state of residence, education, marital status, body mass index (BMI kg/m2), excess body weight (EBW), percent excess weight loss (%EWL), blood pressure, diagnosed depression, diagnosed type 2 diabetes (T2D), Beck Depression Inventory-II (BDI-II), and laboratory values (i.e., hemoglobin A1c). Methods A retrospective electronic medical record (EMR) data extraction was performed on N = 582 patients receiving bariatric surgery (laparoscopic Roux-en-Y gastric bypass [RYGB] and laparoscopic sleeve gastrectomy [SG]) between 10/2013 and 2/2017. Results Patient population was 92.5% Caucasian, 79.3% female, 62.8% married, 45 ± 11.1 years, 75.8% received RYGB, and 24.2% received SG. Average %EWL from baseline to 1-year follow-up was 68.5 ± 18.4% (n = 224). In final descriptive models, surgery type, diagnosed T2D, HbA1c, and depressive symptoms were significant covariates associated with lower %EWL. Conclusions Findings suggest patients completing surgery within an Appalachian region have successful surgical outcomes at 1-year post-surgery, as indicated by significant reductions of \u3e 50% EWL, regardless of other covariates. Results suggest that bariatric programs should consider paying special consideration to patients with T2D or depressive symptoms to improve outcomes. Results have potential to inform future prospective studies and aid in guiding specific interventions tailored to address needs of this unique population